Pinned Repositories
An-Attention-based-Spatiotemporal-LSTM-Network-for-Next-POI-Recommendation
A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation
baseline-14-v3-sub-p9-fix
comp_lgb_model
DeepMove
Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
DiffCDR
hm_lgb_rank_baseline_13_pairewise_recall120_model
iMTL
Klagenfurt_PhD_programming
programming test for Klagenfurt PhD related
learningSpark
学习spark写的scala代码，工具使用的是IDEA2017.1.6,欢迎star
LSTPM
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.
breezeyuner's Repositories
breezeyuner/DiffCDR
breezeyuner/An-Attention-based-Spatiotemporal-LSTM-Network-for-Next-POI-Recommendation
A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation
breezeyuner/baseline-14-v3-sub-p9-fix
breezeyuner/comp_lgb_model
breezeyuner/DeepMove
Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
breezeyuner/hm_lgb_rank_baseline_13_pairewise_recall120_model
breezeyuner/iMTL
breezeyuner/Klagenfurt_PhD_programming
programming test for Klagenfurt PhD related
breezeyuner/learningSpark
学习spark写的scala代码，工具使用的是IDEA2017.1.6,欢迎star
breezeyuner/LSTPM
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.
breezeyuner/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
breezeyuner/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
breezeyuner/multimodal_bev
breezeyuner/repo2docker
Turn git repositories into Jupyter enabled Docker Images
breezeyuner/serializable
breezeyuner/STRNN
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
breezeyuner/TMCA
Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention
breezeyuner/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.